Grants per year
Personal profile
Research Interests
Professor Mehrotra is an expert in methodologies for decision making under uncertainty and its applications to problems in Health Systems Engineering and other Operations Research applications.
His current optimization methodology research focus is in the area of Optimization under Uncertainty, with a focus on Distributionally-Robust risk-based optimization. His healthcare systems engineering work includes policy and operations modeling, using modern operations research tools.
Education/Academic qualification
Operations Research, PhD, Columbia University
… → 1987
Industrial Engineering, MS, Columbia University
… → 1985
Industrial Engineering, BE, Indian Institute of Technology Roorkee
… → 1983
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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GOALI: Nurse Matching to Hospitals Using Static and Dynamic Allocation through an Online Platform
9/1/23 → 8/31/26
Project: Research project
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Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties
12/1/22 → 11/30/25
Project: Research project
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LIVOPT -- LIVer cirrhosis - Optimizing Prediction of Patient OuTcomes
Ladner, D. P., Ladner, D. P., Mehrotra, S., Mehrotra, S., Duarte, A., Furmanchuk, A., Furmanchuk, A., Rohan, V. S., VanWagner, L. B., Zhao, L. & Zhao, L.
9/30/21 → 5/31/26
Project: Research project
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Rescuing Kidneys at Risk of Discard
Mehrotra, S., Friedewald, J. J., Gordon, E., Ladner, D. P. & Nelson, B. L.
National Institute of Diabetes and Digestive and Kidney Diseases
4/1/19 → 3/31/24
Project: Research project
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Service center location problems with decision dependent utilities and a pandemic case study
Luo, F. & Mehrotra, S., 2023, (Accepted/In press) In: Naval Research Logistics.Research output: Contribution to journal › Article › peer-review
Open Access -
Dealing With the Kidney Discard Problem in the United States—One Potential Solution for a Difficult Problem
Friedewald, J. J., Schantz, K. & Mehrotra, S., Mar 2022, In: American Journal of Kidney Diseases. 79, 3, p. 333-334 2 p.Research output: Contribution to journal › Editorial › peer-review
Open Access -
DISTRIBUTIONALLY ROBUST TWO-STAGE STOCHASTIC PROGRAMMING
Duque, D., Mehrotra, S. & MORTON, DAVID. P., 2022, In: SIAM Journal on Computing. 51, 4, p. 1499-1522 24 p.Research output: Contribution to journal › Article › peer-review
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DISTRIBUTIONALLY ROBUST TWO-STAGE STOCHASTIC PROGRAMMING
Duque, D., Mehrotra, S. & MORTON, DAVID. P., 2022, In: SIAM Journal on Optimization. 32, 3, p. 1499-1522 24 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Frameworks and Results in Distributionally Robust Optimization
Rahimian, H. & Mehrotra, S., 2022, In: Open Journal of Mathematical Optimization. 3, 15.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations
Datasets
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Diversity Subsampling: Custom Subsamples from Large Data Sets
Apley, D. (Creator) & Mehrotra, S. (Creator), Code Ocean, 2022
DOI: 10.24433/co.8309237.v1, https://codeocean.com/capsule/5352375/tree/v1
Dataset